Machine Learning & Applied Data Science Intern - Search (Spring/Summer 2026)

Job Description:
I. Machine Learning Research & Development Develop and experiment with models, including deep learning ranking models, transformer-based architectures, and large-model-enhanced retrieval or reranking methods. Explore innovative approaches such as generative ranking, multi-task learning, sequence modeling, and vector-based retrieval. Conduct offline research using Shopee's large-scale datasets and evaluate model improvements in terms of AUC, NDCG, , and latency. II. Applied Data Science & Analytics Perform deep-dive analysis on user search behavior, query intent, click-through patterns, and content features. Build data pipelines to process and validate large-scale logs using Spark, Hive, or PyArrow. Conduct A/B test analysis, interpret experiment results, and recommend further improvements. Identify root causes for search degradation, diagnose model blind spots, and propose data or feature improvements. III. Production Support Collaborate with software engineers to ...